# Questions tagged [multimodality]

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### Is it advisable to use PLSR components in another linear equation?

I currently possess biological data from two groups (healthy vs disease) in the form of protein concentrations and I was interested in determining what the relationship was between these protein ...
• 115
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### Analogue of landscape conjecture in likelihood theory or Bayes?

The so-called landscape conjecture in machine learning says that in high dimensions, most critical points of the loss surface are saddle points rather than poor local minima. Out of curiosity I was ...
• 1,352
1 vote
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### Giving different types of variables as input to ML models [duplicate]

I have a dataset containing two types of variables. These are - numerical and sequential variables( example is shown below). How can I give both of these variables simultaneously as input to machine ...
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### Best practice for estimating values between 5% and 95% CIs for multimodal distribution

How can I improve my quantile estimation method for estimating values between the 5% and 95% confidence intervals for a multimodal distribution (as a mixture of gaussians) ? Where the CI are only for ...
40 views

### How to Sample From Unit Simplex According to Multi-Modal Distribution

I need to sample $n$ points from a multi-modal distribution with the condition that the sum of the points equal 1, i.e., the points are the unit simplex. The possible distributions may have varying ...
1 vote
93 views

### Are there better measures of entropy

Related question here I am trying to measure the uniformity of multimodal distributions and am looking into using entropy. I would like a measure of entropy that is higher for the first distribution ...
41 views

### Is there methods for splitting a Guassian Mixture model into separate unimodal distributions?

I want to apply an algorithm which usually works on unimodal distributions on multimodal distributions, I'm considering doing this by splitting the multimodal distributions into multiple unimodal ...
29 views

### Create statistic to judge moisture distribution 'quality'

I am working with an agricultural dryer that gradually dries grain. During each drying run, many data are taken, including information about the moisture content distribution. The moisture content ...
• 123
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### how can we apply masked language modelling on the images using multimodal models?

It might not be clear from the question what I want to say, but how can we apply masked language modelling with the text and image given using multimodal models like lxmert. For example, if there is ...
• 101
1 vote
1k views

### Is there a way to calculate peaks of a distribution mathematically?

I’m trying to find some way to mathematically calculate the number of peaks in a distribution. I know there are various tests (such as Shapiro Wilk) that assess whether a distribution is normal, but I’...
44 views

### Propagating losses in multimodal data model with joint fusion

I am building a model that combines imaging and structured data together. We plan on using a joint fusion architecture where we first process the images into nx1 vector using a CNN. We'll then combine ...
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102 views

### Compare multimodal distributions for different groups

I am analyzing data from 3 different gait speeds. For each group/speed, I am determining specific value called "angle". Each group has different sample size. So, I need to compare multimodal ...
• 1
94 views

### How to test for inequality in the presence of non-independent noise?

I have multiple samples which include a response time of a system. I want to test if no sample is significantly different (primarily the expected value). For two sample testing I'm using the sign test ...
• 190
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### Measures of central tendency and dispersion of multimodal distributions

I want to make the argument that the mean is not an optimal description of the central tendency of a multimodal distribution and neither is the standard deviation an optimal measure of the dispersion ...
1k views

### Statistic for measuring the magnitude of bimodality in a distribution?

Here are some distributions of US political views by industry: After observing their mostly bimodal nature, I would like to measure the degree of bimodality in each of the distributions for the ...
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### Testing for uniformity of p-values with multi-modal samples

I'm working with data that is multi-modal, I need to be able to check if the individual samples are statistically distinct or not, so I'm running KS-test against pairs of samples. But I've noticed ...
• 190
1 vote
467 views

### Is the multimodal as in multimodal machine learning the same as that as in multimodal distribution?

The multimodal distribution is a distribution with multiple modes as shown below. It reminds me of the multimodal machine learning where multimodal implies multiple types of information, just like ...
• 6,790
1 vote
122 views

### What is a robust distribution for truncated, multi-modal count data for use in GLM analysis?

I have a dataset consisting of observations of number of fish caught per sampling event and would like to conduct a variety GLM analyses on it using R. The maximum number of fish is capped at 75 (...
81 views

### Random Forest performed significantly better than other models for Multimodal data, Why?

Sorry about the vague question. I have multimodal human biosensory data, from eyes, body position and EEG. In my classification, Random Forest performed better than Neural Networks, SVM or Naive ...
• 125
1 vote
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### Finding the first tail in distribution [closed]

Pdf of a distribution is shown in the figure below. Is there a way to estimate the first tail (or) to segment first mode and its tail? he KDE plot resulted from a transaction dataset where ...
101 views

### Does the multimodal probability distribution tend toward uniform distribution as number of modes becomes very large?

Does the multimodal probability distribution tend toward uniform distribution as number of modes becomes very large? Multimodal probability density distribution is formed by the convex combination of ...
• 143
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### Significance of modes in a distribution

I have several datasets with angular measurements, i.e. circular values from 0 to $2\pi$. These datasets tend to have peaks at 0 and/or $\pi$, and I need to tell if the peaks are detected/significant. ...
• 121
1 vote
156 views

### Multi-View Survival Analysis

I have a data set containing various subsets of medical data about a cohort of patients. For example there are blood test results, demographics, medical examination results and a medical history among ...
• 121
1 vote
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### Is this Bayesian model averaging?

A classical example of Bayesian model averaging (BMA) is the regression setup where the choice of different sets of covariates corresponds to different models $\mathcal{M}_k$, $k = 1, \ldots, K$, ...
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### Which statistical methods are best suited for distribution with two peaks?

My data shows this distribution: I am looking for a statistical distribution which my data follows. Thought about poisson distribution, but goodness of fit test shows p < 0.05
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### Fastest Multimodal sampler

I am currently working with Multinest, a bayesian multimodal sampler however it becomes slow for higher dimensions, exponentially slow. Is there another sampler out there that can give me parameter ...
283 views

### Confusion about multimodal machine learning

I recently browsed through this tutorial on multimodal data. Attention: Multimodal in the sense of feature of very different type, that express the same thing -think picture and voice of ...
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### Is the Latent Dirichlet Allocation topic posterior multimodal?

In fitting the Latent Dirichlet Allocation with collapsed Gibbs sampling one builds a sampled approximation to the topic posterior distribution, $P(z|w)$ and use that to calculate the topic and word ...
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### How to detect multivariate binomial distributions?

I tried the hartigans dip test, and it works well for univariate distributions. However, when i tried taking each variable (dimension) and applied hartigans dip test (assuming that if along one ...